Introduction to Urban Gentrification in Brooklyn, New York
Brooklyn, once an emblem of cultural diversity and resilience, now stands at the forefront of urban transformation. From its humble beginnings as a haven for immigrants and working-class families to its current status as a hotspot for upscale living and commercial development, the borough’s journey reflects the ebb and flow of societal shifts1.
Motivation for our exploration into Brooklyn’s evolution stems from the profound changes witnessed over recent decades. The borough has undergone a marked demographic shift, with historically Black neighborhoods experiencing an influx of higher-income residents2. This transformation, commonly termed gentrification, has reshaped the social and economic landscape, raising questions about its origins.
Central to our investigation is the recognition that gentrification is not a monolithic phenomenon but a multifaceted process deeply rooted in historical legacies, economic forces, and policy decisions. By examining the historical trajectory of Brooklyn, tracing the patterns of demographic change, and scrutinizing the policies and practices that shape urban development, we aim to unravel the complex web of factors driving gentrification.
Thus, our research question emerges: What historical, economic, and policy factors have contributed to the gentrification of Brooklyn?
Through literary research, we’ve identified five main driving factors of gentrification3. These factors are summarized in Figure 1 and are discussed throughout the rest of this article.
Figure 1: Driving factors of gentrification.
Through this exploration, we seek not only to understand the past and present dynamics but also to inform future urban planning efforts, advocating for equitable development that preserves the diverse fabric of Brooklyn’s communities while fostering vibrant and inclusive retail environments.
To reproduce the findings found in this article yourself, please refer to the GitHub repository found at this link: https://github.com/olincollege/urban_gentrification.
Gentrification and Sustainability
Our research is grounded in the sustainability imperatives outlined by the United Nations Sustainable Development Goals (SDGs), particularly Goals 1 (No Poverty), 3 (Good Health and Well-Being), 10 (Reduced Inequalities), and 11 (Sustainable Cities and Communities).4. These goals provide a framework for understanding and addressing the multifaceted challenges posed by gentrification in Brooklyn. For instance, as gentrification often exacerbates economic disparities and contributes to the displacement of marginalized communities, our investigation into its causes and impacts directly aligns with the SDG 1 goal of poverty reduction and SDG 10 goal of reducing inequalities. Additionally, the SDG 11 goal of sustainable cities and communities underscores the importance of urban development that promotes inclusivity, resilience, and environmental sustainability, concepts that are central to our inquiry.
Furthermore, our research is guided by the principles of a Just Transition, as advocated by the Climate Justice Alliance.5 These principles emphasize the equitable redistribution of resources and power, aiming to address and transform existing social inequities based on race, class, gender, and other forms of oppression. By examining the historical, economic, and policy factors driving gentrification in Brooklyn, we seek to uncover the systemic injustices perpetuated by current urban development paradigms and explore pathways towards more just and sustainable outcomes. In doing so, our research not only contributes to the broader discourse on urban sustainability but also advances efforts to create communities that are equitable, inclusive, and environmentally resilient.
Background on Gentrification in Brooklyn
Figure 2: Line Graph of Median Gross Rent by NYC’s Boroughs from 2006-2021
In this article, we’ve decided to hone in on Brooklyn out of all of the New York City boroughs. The reason for this is because of its heightened level of gentrification when compared to other New York City boroughs. Figure 2 depicts the median gross rent of a unit by borough over the years 2006-2021. As we may expect, each borough has generally increased in rent since 2006. Staten Island uniquely has seen fluctuations in the gross rent, though ultimately it has still increased. However an outliar amongst the boroughs is Brooklyn, whose slope is notably far steeper than the other boroughs, shifting from one of the least expensive borough to live in to one of the most expensive.
Figure 3: Boroughs in which the census tracts with the largest change in % NHW population are located. Change in % NHW population is calculated by taking NHW% in 2016 - NHW% in 2000.
In addition, Figure 3 shows that Brooklyn has had the greatest difference in percent of non-hispanic white people out of all the NYC boroughs from 2016 to 2020, adding evidence to its heightened gentrification.
Throughout the rest of this article, maps of Brooklyn are presented. Please refer to Figure 4 to see neighborhood names. Note that certain neighborhoods of note are highlighted in color. These are places that are zoned in on in different parts of the rest of the report.
Figure 4: Interactive map showing Brooklyn neighborhood names. Neighborhoods of note are shown in color.
Brooklyn neighborhoods are experiencing differing levels of displacement, as wages of low-income residents and housing prices has resulted in the area to have experienced significant demographic shifts in recent years. UC-Berkley and NYU’s Center for Urban Science and Progress analyzed regional data on housing, income, and other demographics to understand and predict what areas are or will be gentrified in the near future. Figure 5, which display several categories indicating the level to which census tracts are being displaced and gentrified, references “Low Income” and “Moderate to High Income” in the Typology section. Here, “Low Income” means a median household income at 80% of the regional median, and “Moderate to High Income” is a median household income at 80% of the regional median or above. The three main types of typologies depicted in Figure 5 are displacement, gentrification, and exclusion. Displacement refers to the process by which individuals are forced to leave their homes due to rising living costs. In gentrification, neighborhoods have an influx of new, wealthier residents and businesses, resulting in increased property values and changes in the neighborhood demographics. Exclusion is the process that creates economic barriers to housing access for groups, often based on income, race, ethnicity, or other demographic factors.8
Figure 6: Choropleth of Brooklyn’s Displacement and Gentrification in Each Census Tract, based on the tract income level categories depicted in Figure 5.
Using the typology used in Figure 5, Figure 6 shows a choropleth of
the gentrification level of each census tract, where the data was last
updated in 2019. To create this plot, a Brooklyn geography github
package (nycgeo) was joined with census tract
gentrification data from UC-Berkley and NYU’s Center for Urban Science
and Progress. As can be observed, Red Hook, Bay Ridge, Fort Hamilton,
Mill Basin, Bergen Beach, Canarsie, and part of East New York
neighborhoods are mostly in the “Stable Exclusion” phase. Bushwick,
Bedford-Stuyvesant, and Crown Heights are classified as “Ongoing
Gentrification.” Greenpoint, Cobble Hill, Carroll Gardens, Gowanus, and
Park Slope are very gentrified and are classified as “Ongoing
Exclusion,” only to be surpassed by Dumbo as “Super Gentrification or
Exclusion,” as the most gentrified neighborhood in Brooklyn.
Why has Brooklyn Gentrified?
Gentrification can be driven by various factors, many of them being intertwined. In our research we’ve identified five leading factors that may have lead to gentrification in Brooklyn. These factors and their supporting stories/visualizations are discussed in the sections below and are summarized in the graphic in Figure 1.
Zoning Policies
Figure 7: Barchart of the percent that each community district residential area was classified “Declining” or “Hazardous”.9
Redlining was a discriminatory practice employed by the federal government and banks in the 1930s, during the Great Depression, aimed at determining loan guarantees based on neighborhood characteristics and residents’ race. The Home Owners Loan Corporation (HOLC) created “residential security maps” that classified neighborhoods into categories such as “Best,” “Still Desirable,” “Definitely Declining,” and “Hazardous,” with racialized descriptions like “infiltration of Negroes” used to designate areas as lower value. This practice systematically denied people of color access to mortgage loans, perpetuating racial segregation and depriving them of resources and opportunities available to white residents. Redlining concentrated people of color in underinvested neighborhoods while providing more resources and opportunities to white residents, reinforcing systemic racism and perpetuating economic disparities10. Many areas of Brooklyn were redlined, and Figure 7 shows the percentage each community district was classified as “Declining” and “Hazardous.” This plot was constructed using redlining data from NYC’s Environment and Health Data Portal, pivoted from wide to long, and cleaned for better usability.The areas that were identified to be the most “Hazardous” were Bedford-Stuyvesant, Greenpoint and Williamsburg, Brownsville, Fort Greene and Brooklyn Heights, and Park Slope and Carroll Gardens. Meanwhile Borough Park, Bensonhurst, Sunset Park, Bushwick, Crown Heights and Prospect Heights.
Tax Incentives
One factor that may have heavily spurred gentrification in NYC, and particularly Brooklyn, is tax exemption programs created by the government that provide benefits to developers creating new residential units. In order to stimulate the housing market and incentivize developers to create housing options suitable for lower income citizens, several tax exemption policies were created that would partially exempt developers from property taxes on properties that were enrolled in the program. One common tax exemption program is 421a; in order to qualify, the property must have a certain percentage (roughly 25% or higher) of units set aside for affordable housing/low-middle income households and set them to prices that are affordable for families earning up to a certain percentage of AMI (Area Median Income).
Figure 8: Bar Graph depicting Housing Units qualified for varying tax exemption programs per borough
Many criticize the 421a tax exemption program, claiming that despite the program’s intent to increase affordability of rent, it may have the opposite effect. This may be due to some developers taking advantage of the requirement to set housing prices based on the area’s AMI and raise the rent to cater to those households who earn 120-130 percent of AMI.
Figure 9: Line Graph depicting Median Gross Rent by Neighborhood in Brooklyn
A majority of Brooklyn neighborhoods have a similar, steady increase in median rent over the years, such as Flatlands, Boroughs Park, Sheepshead Bay etc. Williamsburg and Brooklyn Heights, on the other hand, have had a steeper shift in rent; both had been on par with the median rents of other Brooklyn neighborhoods in 2006, but ultimately are now amongst the top 3 most expensive neighborhoods.
Figure 10: Bar Graph depicting difference between low income units and 421a tax units per borough built between 2010-2021
Figure 10 was created by joining two datasets from NYU’s Furman Center and summing over the total number of each unit type for each borough. The total number of low income units per borough was overlaid over the total number of 421a qualified units per borough. The Furman Center defines low income units in this dataset as any unit “targeted to households that earn less than/equal to 80% AMI.” This would include units that are also 421a qualified.
Comparing each borough’s ratio of 421a-qualified units and low income units, we see that the borough with the largest disparity between 421a units and low-income is clearly Brooklyn, which has an incredibly large number of 421a built units in comparison to the number of low income ones. Brooklyn also has the largest population of the boroughs. We cannot necessarily draw any conclusions from this graph that the 421a exemption program is causing gentrification in Brooklyn, especially since this dataset only shows the total number of units built between 2010 and 2021, and does not include more detail on how these ratios have changed. However, it is interesting to compare Brooklyn’s ratio to other boroughs since the gap is much larger.
Figure 11: Linear Model of Number of 421a Units in Brooklyn’s Community Districts and the Median Rent Increase since 2006 to 2021
Figure 11 was created by joining together two separate datasets from the Furman Center’s datahub CoreData. The median rent data originally contained the values of rent per community district across the years 2006-2021, so in order to calculate the rent increase across this time period, the difference was taken for the rent value of 2021 and 2006 for each community district. The total number of 421a units built was already for the year 2021. After fitting a linear model to the two variables, we can see that there is a positive correlation with relatively small residuals. This indicates that the correlation between a community district having a large number of 421a units and the median rent increasing is strong. With the data, however, we cannot make any conclusions about causation. However, it is also important to note that there are only 18 data points, one for each community district. Ideally, we would be able to have more data points to strengthen our conclusion.
Displacement of Public Housing
Figure 12: Barchart showing the number of public housing developments in each of the five boroughs of NYC11
As shown by Figure 12, Brooklyn offers just over 60 public housing developments, despite having the largest population of the five boroughs at 2,600,000+ people12. The Bronx has a much lower population of 1.5 million, and Manhattan has 1.7 million people. Brooklyn also has the second largest land area of the boroughs at 71 square miles, following Queens at 109 square miles13. Considering the abundance of people that live in Brooklyn and the large amount of land available, this borough should surpass Manhattan and the Bronx in public housing developments. This plot was made using data from New York City Housing Authority’s Public Housing Development database. This data was cleaned and grouped to organize the visualization by borough.
Figure 13: Interactive map showing all public housing developments across all five boroughs14
As shown in Figure 13, Brooklyn severely lacks public housing developments, especially in the bottom half and center of the borough. Some public housing is available in Coney Island, Brownsville, Canarsie, Bedford-Stuyvesant, and Downtown Brooklyn. This map was also made using data from New York City Housing Authority’s Public Housing Development database in combination with leaflet.
Figure 14: New construction of government owned housing projects by borough. Affordable housing is HPD (until 2015), NYCHA, and NYCHA/HHC. Note lack of new projects after 2015 in Brooklyn compared with other Boroughs.
Figure 14 shows the construction of new government housing. HPD (Housing Preservation and Development) and NYCHA (New York City Housing Authority) represent affordable housing projects. Though 2015 saw a great deal of new housing being built in Brooklyn, since then very little to no development has occurred, while other boroughs have seen new developments.
Real Estate Speculation
Figure 15: Percent ownership of private for-profit housing in NYC. Note the decreasing share of individually owned properties in Brooklyn.
Figure 15 shows that new buildings that are individually owned have been going down over the years as a percentage of the total new houses. Compared to other boroughs (Bronx and Queens) this trend is unique to Brooklyn. This points to the fact that in Brooklyn, most new houses are owned by corporations and partnerships, a symptom of real estate speculation that can drive out families from their properties.
Real estate speculation involves the practice of treating property or housing as a financial investment and not as a purchase of a place to live. While speculation can take the form of buying land well in advance of anticipated development, we will focus on a narrower slice of this world: house flipping. House flippers purchase a house, renovate or retrofit it to update its design, and resell it for profit, hopefully making more than enough money to offset the upgrades.
A common policy practice used by local governments to reduce the influence of flipping on the housing market is an elevated tax on properties sold under a minimum amount of time. It would follow from this that a key indicator of flipping, then, could be a large number of properties sold within a shorter range of time. Flipping generally occurs within one year of purchase, but larger projects may extend beyond this range.
Figure 16: Property hold times in the Bedford Stuyvesant neighborhood of Brooklyn for properties that were sold at least twice between January 1, 2013 and December 31, 2023.15
When comparing the differences between consecutive property sale dates in Bedford Stuyvesant, the short term holding phenomena becomes clear. The trend is clear that properties in Bed-Stuy have been resold relatively quickly. Greenpoint, however, does not display a similar skew toward lower hold times, despite being marked as a gentrifying region. Flipping, therefore, is not always a symptom or cause of gentrification, and other factors may be at play.
Another way to evaluate the presence of flipping is to look at value appreciation on a short time scale. This will reveal whether flippers are successfully inflating the value of their properties faster than they would appreciate normally. A flatter correlation could suggest that flippers are making a similar return on their investment to homeowners who hold onto them longer, and a positive correlation would suggest that flippers gain no outsize value above simple appreciation.
Figure 17: Appreciation data by how long the property was held. Vertical axes are log scale to better illustrate distribution. Data was filtered for hold times greater than 60 days. [ibid]
Neither of the plots in Figure 17 clearly reveals a very strong correlation between the housing price and the time held. Notably, both plots represent an elevated initial appreciation, followed by a dip, that then morphs into a more linear growth. This supports the narrative that gentrification is occurring because flippers are experiencing greater appreciation than those who hold their houses for longer.
Limitations in Speculation Data
When evaluating property value growth and turnover, multiple data points were required to quantify change. From the property sales between January 2013 and December 2023, only properties that were sold at least twice were considered. This limited the data to a smaller subset of properties, and the data was further filtered to only include properties that were held for at least 60 days. This was done to ensure that the data was not skewed by properties that were bought and sold in quick succession.
Further, the data consists of numerous entries where properties were sold for far below market value. While the reasons behind these sales are unknown, they could be due to foreclosures, short sales, or other factors that would not be indicative of flipping. These entries were not removed from the dataset, as they could still provide valuable information on the housing market in Brooklyn. Sales for $0 were removed from the dataset, as they could be attributed to transfer of ownership into a trust, or simply an error in the dataset.
Transportation Infrastructure
Upon research of transportation and gentrification, it is found that the literature is split on the relation between transportation and gentrification.An article from Bloomberg studied whether transit corridors contribute to the displacement of low-income households.16. Although there is an initial correlation between high incomes and access to subway stops, a more detailed analysis showed that transit access is not the primary factor driving changes in neighborhood income levels between 2000 and 2010. Instead, other factors such as population growth, racial diversity, education levels, and proximity to central business districts play more significant roles. The study highlights the importance of transit for less advantaged groups and suggests that a lack of transit access can hinder economic opportunities for these groups.
Another study from University of Texas, Austin17 examined the relationship between gentrification and public transit service in the New York–Northern New Jersey–Long Island area. It identified higher rates of transit deserts (areas with limited transit service) in economically disadvantaged neighborhoods and highlighted the significant impact of transit services on gentrification progress. However, the study also noted that transit services have insignificant effects on super-gentrification. Policymakers are urged to allocate public transit budgets carefully to avoid displacement while meeting the transit needs of different socioeconomic groups.
To corroborate information found in these articles, Figures 18 and 19 were created to explore the relationship between subway station count per neighborhood in Brooklyn and different factors that indicate the occurrence of gentrification.
Fig 18. Map of subway count by neighborhood along with three factors that are often a sign of gentrification. Each map is overlaid with subway transit points.
Figure 18 was created by combining data from the Census American Community Survey18, Department of Investigation19, and MTA Subway Stations20. Data was combined and summarized to get the final counts shown in Figure 18. By comparing the shaded areas of the various maps in Figure 18, a correlation is exposed between subway count and mean rent. As the number of subway stations increase in a neighborhood, so does the mean rent.
Fig 19. Map of subway count by neighborhood along with demographic data. Each map is overlaid with subway transit points.
By comparing subway station count and the various demographics, Figure 19 shows that the neighborhoods with the highest densities of Black people have the lowest amount of subway stations.
Overall, although the graphs presented in Figure 18 and Figure 19 show some correlation between transportation and gentrification, there are some limitations to the data. These limitation include the fact that different data sets are taken from different years based on available data, and the fact that it just accounts for how many subway stations there are per neighborhood rather than proximity to subway stations.
Conclusion
In conclusion, the driving factors of gentrification in Brooklyn, New York, intertwine to create a complex urban landscape. Historical redlining practices have entrenched residential segregation, setting the stage for gentrification by maintaining older buildings and keeping land prices low. Simultaneously, the absence of adequate public housing options forces low-income families out of their neighborhoods, while tax incentives prioritize profit-driven development over the creation of affordable housing. The allure of increased property values prompts speculators to invest in the beautification of properties, attracting wealthier buyers and catalyzing demographic shifts. However, amidst these challenges, there is a concerted effort from advocates to push for solutions. Initiatives such as universal rent stabilization, protection of small businesses, and increased transparency in city planning are being championed as means to mitigate the negative impacts of gentrification and foster more equitable urban development21.
Future Work
If we had more time with this project we might expand our research to look at all boroughs in New York City and look at a more expanded timeline of data to fully depict the story of gentrification in New York City.
Appendix
All code to reproduce our findings in this report can be found in data_wrangling_all.Rmd and data_visualizations_all.Rmd. Sources of our data and the wrangling process can be found in data_wrangling_all.Rmd.
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https://metropolismoving.com/blog/new-york-city-population-in-2022/↩︎
https://www.nymtc.org/portals/0/pdf/CPT-HSP/NYMTC%20coord%20plan%20NYC%20CH03.pdf↩︎
https://data.cityofnewyork.us/Housing-Development/NYCHA-Public-Housing-Developments/phvi-damg/about_data↩︎
https://www.nyc.gov/site/finance/property/property-rolling-sales-data.page↩︎
https://www.bloomberg.com/news/articles/2015-07-23/subway-and-bus-stops-are-not-the-cause-of-gentrification-in-new-york?embedded-checkout=true↩︎
https://data.cityofnewyork.us/City-Government/2020-Census-Tracts-to-2020-NTAs-and-CDTAs-Equivale/hm78-6dwm/about_data↩︎
https://data.cityofnewyork.us/City-Government/Evictions/6z8x-wfk4↩︎
https://data.ny.gov/Transportation/MTA-Subway-Stations/39hk-dx4f/about_data↩︎
https://bangentrification.org/political-education-and-resources-2/↩︎